The correlation between CO2 emissions and GDP per capita in 1962 was 0.86 with a p-value less than 2.2e-16.
Correlation between CO2 emissions and GDP per capita was highest in 1967.
Before comparing energy use in different continents, a quantile-quantile plot was used to check the normality of energy use data.
Because the data was not normally distributed, a Kruskal-Wallis test and Wilcoxon test was used was used to compare the average energy use in different continents.
A quantile-quantile plot was used to check the normality of imports data in Europe and Asia after 1990. The distribution was normal, so a t-test was used.
There was no significant difference between Europe and Asia (p>0.05) with respect to the percentage of GDP that accounts for imports of goods and services.
A quantile-quantile plot was used to check the normality of population density data for the top 5 countries.
As the distribution was normal, a one-way ANOVA and Tukey’s HSD test was used to compare the average population density in different countries.
The country with the greatest increase in life expectancy since 1962 was Cambodia.